{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:HMQ2QVBRXHXBUHZBNLOVX6MIYO","short_pith_number":"pith:HMQ2QVBR","canonical_record":{"source":{"id":"1803.07781","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2018-03-21T07:43:53Z","cross_cats_sorted":[],"title_canon_sha256":"a3885758626729404d982fa391325a1674fec7a041b8edf92469fd7bb67103b7","abstract_canon_sha256":"a943dd2384b02f3526b2802507eed80c07291c95ae814e8dced2151c9bba510a"},"schema_version":"1.0"},"canonical_sha256":"3b21a85431b9ee1a1f216add5bf988c3a585a2eff733d1c079e9c6bc1acee8b5","source":{"kind":"arxiv","id":"1803.07781","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.07781","created_at":"2026-05-18T00:20:28Z"},{"alias_kind":"arxiv_version","alias_value":"1803.07781v1","created_at":"2026-05-18T00:20:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.07781","created_at":"2026-05-18T00:20:28Z"},{"alias_kind":"pith_short_12","alias_value":"HMQ2QVBRXHXB","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_16","alias_value":"HMQ2QVBRXHXBUHZB","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_8","alias_value":"HMQ2QVBR","created_at":"2026-05-18T12:32:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:HMQ2QVBRXHXBUHZBNLOVX6MIYO","target":"record","payload":{"canonical_record":{"source":{"id":"1803.07781","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2018-03-21T07:43:53Z","cross_cats_sorted":[],"title_canon_sha256":"a3885758626729404d982fa391325a1674fec7a041b8edf92469fd7bb67103b7","abstract_canon_sha256":"a943dd2384b02f3526b2802507eed80c07291c95ae814e8dced2151c9bba510a"},"schema_version":"1.0"},"canonical_sha256":"3b21a85431b9ee1a1f216add5bf988c3a585a2eff733d1c079e9c6bc1acee8b5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:20:28.976916Z","signature_b64":"2SN000VeMfRrRc8FfN1hmT7eCBTQ+9Et8VJlyY1P0VbixrTaaFESnmUyhisC9HSIa4tT5Dn64ayMr4HlKyXiCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3b21a85431b9ee1a1f216add5bf988c3a585a2eff733d1c079e9c6bc1acee8b5","last_reissued_at":"2026-05-18T00:20:28.976486Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:20:28.976486Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1803.07781","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:20:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0XqyDZ9jcXj3PtK1o3Q2Ii4eJ17C/JuX2UGulFhkNXfc04q8yx1lTBZ/W4qG9tMpOW106T9F2642tWKPVs01Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T09:18:38.455195Z"},"content_sha256":"0f76f9dd8066c9379e22f5787b5d47d54542363fc9c83832b2a8a1bcb6a37ace","schema_version":"1.0","event_id":"sha256:0f76f9dd8066c9379e22f5787b5d47d54542363fc9c83832b2a8a1bcb6a37ace"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:HMQ2QVBRXHXBUHZBNLOVX6MIYO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Exploiting deep residual networks for human action recognition from skeletal data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alain Crouzil, Huy-Hieu Pham, Louahdi Khoudour, Pablo Zegers, Sergio A. Velastin","submitted_at":"2018-03-21T07:43:53Z","abstract_excerpt":"The computer vision community is currently focusing on solving action recognition problems in real videos, which contain thousands of samples with many challenges. In this process, Deep Convolutional Neural Networks (D-CNNs) have played a significant role in advancing the state-of-the-art in various vision-based action recognition systems. Recently, the introduction of residual connections in conjunction with a more traditional CNN model in a single architecture called Residual Network (ResNet) has shown impressive performance and great potential for image recognition tasks. In this paper, we "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.07781","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:20:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pq12JxyAg+bwwhQQEZNj9y6E2NGKxmWznj0yPfuGfNmW9qKxsgiHcCqvrivgdRN/zzdXOnBtT9So8/3lA0TJBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T09:18:38.455559Z"},"content_sha256":"650cb0bcc88788f3c1b3a60bb865c1c84b3aa2f4c3aff17794730b2adc008bbb","schema_version":"1.0","event_id":"sha256:650cb0bcc88788f3c1b3a60bb865c1c84b3aa2f4c3aff17794730b2adc008bbb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HMQ2QVBRXHXBUHZBNLOVX6MIYO/bundle.json","state_url":"https://pith.science/pith/HMQ2QVBRXHXBUHZBNLOVX6MIYO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HMQ2QVBRXHXBUHZBNLOVX6MIYO/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-04T09:18:38Z","links":{"resolver":"https://pith.science/pith/HMQ2QVBRXHXBUHZBNLOVX6MIYO","bundle":"https://pith.science/pith/HMQ2QVBRXHXBUHZBNLOVX6MIYO/bundle.json","state":"https://pith.science/pith/HMQ2QVBRXHXBUHZBNLOVX6MIYO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HMQ2QVBRXHXBUHZBNLOVX6MIYO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:HMQ2QVBRXHXBUHZBNLOVX6MIYO","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"a943dd2384b02f3526b2802507eed80c07291c95ae814e8dced2151c9bba510a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2018-03-21T07:43:53Z","title_canon_sha256":"a3885758626729404d982fa391325a1674fec7a041b8edf92469fd7bb67103b7"},"schema_version":"1.0","source":{"id":"1803.07781","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.07781","created_at":"2026-05-18T00:20:28Z"},{"alias_kind":"arxiv_version","alias_value":"1803.07781v1","created_at":"2026-05-18T00:20:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.07781","created_at":"2026-05-18T00:20:28Z"},{"alias_kind":"pith_short_12","alias_value":"HMQ2QVBRXHXB","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_16","alias_value":"HMQ2QVBRXHXBUHZB","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_8","alias_value":"HMQ2QVBR","created_at":"2026-05-18T12:32:28Z"}],"graph_snapshots":[{"event_id":"sha256:650cb0bcc88788f3c1b3a60bb865c1c84b3aa2f4c3aff17794730b2adc008bbb","target":"graph","created_at":"2026-05-18T00:20:28Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"The computer vision community is currently focusing on solving action recognition problems in real videos, which contain thousands of samples with many challenges. In this process, Deep Convolutional Neural Networks (D-CNNs) have played a significant role in advancing the state-of-the-art in various vision-based action recognition systems. Recently, the introduction of residual connections in conjunction with a more traditional CNN model in a single architecture called Residual Network (ResNet) has shown impressive performance and great potential for image recognition tasks. In this paper, we ","authors_text":"Alain Crouzil, Huy-Hieu Pham, Louahdi Khoudour, Pablo Zegers, Sergio A. Velastin","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2018-03-21T07:43:53Z","title":"Exploiting deep residual networks for human action recognition from skeletal data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.07781","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:0f76f9dd8066c9379e22f5787b5d47d54542363fc9c83832b2a8a1bcb6a37ace","target":"record","created_at":"2026-05-18T00:20:28Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"a943dd2384b02f3526b2802507eed80c07291c95ae814e8dced2151c9bba510a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2018-03-21T07:43:53Z","title_canon_sha256":"a3885758626729404d982fa391325a1674fec7a041b8edf92469fd7bb67103b7"},"schema_version":"1.0","source":{"id":"1803.07781","kind":"arxiv","version":1}},"canonical_sha256":"3b21a85431b9ee1a1f216add5bf988c3a585a2eff733d1c079e9c6bc1acee8b5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3b21a85431b9ee1a1f216add5bf988c3a585a2eff733d1c079e9c6bc1acee8b5","first_computed_at":"2026-05-18T00:20:28.976486Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:20:28.976486Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2SN000VeMfRrRc8FfN1hmT7eCBTQ+9Et8VJlyY1P0VbixrTaaFESnmUyhisC9HSIa4tT5Dn64ayMr4HlKyXiCw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:20:28.976916Z","signed_message":"canonical_sha256_bytes"},"source_id":"1803.07781","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0f76f9dd8066c9379e22f5787b5d47d54542363fc9c83832b2a8a1bcb6a37ace","sha256:650cb0bcc88788f3c1b3a60bb865c1c84b3aa2f4c3aff17794730b2adc008bbb"],"state_sha256":"037f36b085f11beb6abe6fbe38834344d101f2523828b96a4fab12145c529ed9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CfKOIvFrXI/hZLBegmdsdh8P6x2EkbOjRk9TCOzDgcdTri+WEBlIa90B6DrNmVNQQ3iWYj7SqwmJ0Wx7PdZ6AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T09:18:38.457386Z","bundle_sha256":"5dae75ffeffd89274008bbf1f8bee745c683988adc5844894540655e1eb97a8a"}}